scipy.stats.gompertz() is an Gompertz (or truncated Gumbel) continuous random variable that is defined with a standard format and some shape parameters to complete its specification.
Parameters :
-> q : lower and upper tail probability
-> x : quantiles
-> loc : [optional]location parameter. Default = 0
-> scale : [optional]scale parameter. Default = 1
-> size : [tuple of ints, optional] shape or random variates.
-> moments : [optional] composed of letters [‘mvsk’]; ‘m’ = mean, ‘v’ = variance, ‘s’ = Fisher’s skew and ‘k’ = Fisher’s kurtosis. (default = ‘mv’).Results : Gompertz (or truncated Gumbel) continuous random variable
Code #1 : Creating Gompertz (or truncated Gumbel) continuous random variable
from scipy.stats import gompertz numargs = gompertz.numargs [a] = [0.7, ] * numargs rv = gompertz(a) print ("RV : \n", rv) |
Output :
RV : <scipy.stats._distn_infrastructure.rv_frozen object at 0x000001E39A3E2470>
Code #2 : Gompertz (or truncated Gumbel) random variates and probability distribution
import numpy as np quantile = np.arange (0.01, 1, 0.1) # Random Variates R = gompertz.rvs(a, scale = 2, size = 10) print ("Random Variates : \n", R) # PDF R = gompertz.pdf(a, quantile, loc = 0, scale = 1) print ("\nProbability Distribution : \n", R) |
Output :
Random Variates : [1.29938059 1.47547887 1.33324567 1.79424061 0.45304378 1.46222247 1.29260365 0.59989705 3.58467676 1.81226267] Probability Distribution : [0.01993441 0.19813875 0.34179784 0.45591617 0.54485437 0.61240685 0.66187043 0.69610503 0.71758726 0.72845776]
Code #3 : Graphical Representation.
import numpy as np import matplotlib.pyplot as plt distribution = np.linspace(0, np.minimum(rv.dist.b, 3)) print("Distribution : \n", distribution) plot = plt.plot(distribution, rv.pdf(distribution)) |
Output :
Distribution : [0. 0.06122449 0.12244898 0.18367347 0.24489796 0.30612245 0.36734694 0.42857143 0.48979592 0.55102041 0.6122449 0.67346939 0.73469388 0.79591837 0.85714286 0.91836735 0.97959184 1.04081633 1.10204082 1.16326531 1.2244898 1.28571429 1.34693878 1.40816327 1.46938776 1.53061224 1.59183673 1.65306122 1.71428571 1.7755102 1.83673469 1.89795918 1.95918367 2.02040816 2.08163265 2.14285714 2.20408163 2.26530612 2.32653061 2.3877551 2.44897959 2.51020408 2.57142857 2.63265306 2.69387755 2.75510204 2.81632653 2.87755102 2.93877551 3. ]
Code #4 : Varying Positional Arguments
import matplotlib.pyplot as plt import numpy as np x = np.linspace(0, 5, 100) # Varying positional arguments y1 = gompertz.pdf(x, 1, 3) y2 = gompertz.pdf(x, 1, 4) plt.plot(x, y1, "*", x, y2, "r--") |
Output :
… [Trackback]
[…] There you will find 16826 more Information on that Topic: geeksforgeeks.org/scipy-stats-gompertz-python-2/ […]
… [Trackback]
[…] Read More Info here to that Topic: geeksforgeeks.org/scipy-stats-gompertz-python-2/ […]
… [Trackback]
[…] Read More Information here to that Topic: geeksforgeeks.org/scipy-stats-gompertz-python-2/ […]